You are here: Home
/ Publication Information
Title: Percent canopy cover and stand structure statistics from the Forest Vegetation Simulator
Author: Crookston, Nicholas L.; Stage, Albert R.;
Source: Gen. Tech. Rep. RMRS-GTR-24. Ogden, UT: U. S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 11 p.
Publication Series: General Technical Report (GTR)
Description: Estimates of percent canopy cover generated by the Forest Vegetation Simulator (FVS) are corrected for crown overlap using an equation presented in this paper. A comparison of the new cover estimate to some others is provided. The cover estimate is one of several describing stand structure. The structure descriptors also include major species, ranges of diameters, tree heights, and heights to crown base for as many as three significant height strata. From these data a structural class is assigned to the stand using concepts defined by O'Hara and others (1996) with some subsequent enhancements. An FVS keyword for applying and tuning the classification is documented along with information for FVS Event Monitor users. An illustration of the structural classification is presented.
Keywords: FVS, Prognosis Model, crown cover, stand structure classification
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- You may send email to email@example.com to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)
XML: View XML
Crookston, Nicholas L.; Stage, Albert R. 1999. Percent canopy cover and stand structure statistics from the Forest Vegetation Simulator. Gen. Tech. Rep. RMRS-GTR-24. Ogden, UT: U. S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 11 p.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility